EP2369801A2 - Datenempfänger mit verbesserter Antwort auf lang- und kurzfristige Datensignalausblendung - Google Patents

Datenempfänger mit verbesserter Antwort auf lang- und kurzfristige Datensignalausblendung Download PDF

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Publication number
EP2369801A2
EP2369801A2 EP11159476A EP11159476A EP2369801A2 EP 2369801 A2 EP2369801 A2 EP 2369801A2 EP 11159476 A EP11159476 A EP 11159476A EP 11159476 A EP11159476 A EP 11159476A EP 2369801 A2 EP2369801 A2 EP 2369801A2
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EP
European Patent Office
Prior art keywords
data signal
decision metric
receiver
receiver according
broadcast receiver
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Granted
Application number
EP11159476A
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English (en)
French (fr)
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EP2369801B1 (de
EP2369801A3 (de
Inventor
Steven Dr. Freear
Paschalis Sofotasios
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Arris Global Ltd
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Pace PLC
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Publication of EP2369801A3 publication Critical patent/EP2369801A3/de
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/03—Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
    • H04L25/03006—Arrangements for removing intersymbol interference
    • H04L25/03178—Arrangements involving sequence estimation techniques
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/06—DC level restoring means; Bias distortion correction ; Decision circuits providing symbol by symbol detection
    • H04L25/067—DC level restoring means; Bias distortion correction ; Decision circuits providing symbol by symbol detection providing soft decisions, i.e. decisions together with an estimate of reliability

Definitions

  • the invention to which this application relates is a broadcast data receiver apparatus which is provided in a form so as to have an improved response to long and short term fading of the data channels.
  • Broadcast signals which are transmitted are typically distorted by atmospheric and environmental impairments, thereby degrading the quality of the signal which is subsequently received.
  • one form of deterioration is fading which is typically caused by physical phenomena such as reflection, diffraction and scattering.
  • the effect of these phenomena is either rich or poor. This is the case in the occurrence of multipath and shadowing fading, respectively.
  • Suzuki statistical distribution Another known distribution known as the Suzuki statistical distribution has the advantage that it is a composite Rayleigh/Lognormal distribution. As a consequence, it is capable of describing at once both the multipath and the shadowing of communication signals which occur simultaneously during wireless propagation.
  • PDF probability density function
  • An existing method of compensating for shadowing is by providing the receiver with empirical data, i.e. actual data, relating to the geographical area in which the receiver is to be used.
  • empirical data i.e. actual data
  • the data is not always specific enough to the receiver location, and if the receiver is moved to a new location, new empirical data has to be obtained.
  • An aim of the present invention is to provide a receiver which can characterise accurately the signal degradation caused by the presence of multipath fading and shadowing. Another aim is to provide a method whereby the characterisation of the signal degradation can be accurately determined.
  • ⁇ and ⁇ denote the variance and mean value respectively of the Lognormal distribution, in order to take into account potential impairment of the said data signal.
  • the receiver can be optimised in a number of conditions such that the requirement for empirically modelling the channel before deploying a new network is removed.
  • the receiver has improved performance over fading channels and is adaptive to the location of the receiver.
  • s k t , ⁇ l l 1 Lp
  • This decision metric allows implementation of a receiver configuration design in the case of known delays but unknown phases and amplitudes.
  • s k t is:
  • This decision metric allows implementation of a receiver configuration design for the case of unknown delays, phases and amplitudes.
  • the design or configuration of the receiving apparatus include details of coherent detection as well as non-coherent detection.
  • the designs include details of the possible modulation schemes, typically M-PSK, M-QAM, ASK/PAM, FSK, MSK and OFDM.
  • the designs include a plurality of shaping pulses, typically square, sinusoidal and cosine.
  • the broadcast receiver characterises signal impairment optimally by utilising any, or any combination of, the decision metrics described herein.
  • the decision metric allows optimisation of the signal reception parameters or design.
  • a method of configuring receiving and/or processing apparatus for at least one data signal received from a remote transmitting location including the steps of:
  • a real bandpass signal which can be represented as :
  • S ⁇ k is the k th complex bandpass signal
  • S ⁇ k (t) is the corresponding k th complex baseband signal chosen from the set of M equi-probable message waveforms which represents the transmitted information.
  • the above signal (1) is transmitted over the fading channel which is characterized by L p independent diversity paths. Each of these paths is a time varying channel that attenuates, delays, phase-shifts the signal while it also adds an AWGN source.
  • the received data signal at the receiving apparatus is in fact a set of "noisy" replicas of the transmitted signal.
  • the optimum receiver computes the set of a posteriori probabilities p s k t
  • the receiver is assumed to be time - synchronised to the transmitted signal.
  • s k t , k 1 , 2 , ... , M which is the Maximum - Likelihood (ML) decision rule.
  • Receivers that make use of CSI have been termed self-adaptive in that the estimates of the system parameters are utilized to adjust the decision structure, thereby, improving the system performance by adaptation to variation of the channel changes.
  • Example 1 Known amplitudes, phases and delays; non-coherent detection
  • the conditional probability p r l t l 1 Lp
  • Example 2 Known phases and delays, unknown amplitudes; non-coherent detection
  • ⁇ the variance of Lognormal distribution
  • ⁇ mean value of lognormal distribution
  • s k t ⁇ l l 1 Lp
  • the receiver apparatus configuration design illustrated in Figure 1 can be implemented for the case of known delay and phase values but unknown amplitude values for the data signal to be received.
  • This design contains a block that theoretically includes the modulation schemes that can be possibly used. It also contains three different shaping pulses. Furthermore, non - coherent detection as well as uniform PDP are assumed.
  • Example 3 Known data signal phase value, unknown data signal delay and amplitude values; non-coherent detection
  • the receiver design illustrated in Figure 2 can be implemented for the case of known phases but unknown delays and amplitudes. As in the above case, this design contains a block that theoretically includes the modulation schemes that can be possibly used together with the shaping pulses. Furthermore, non-coherent detection as well as uniform power decay profile (PDP) have been assumed.
  • PDP uniform power decay profile
  • Example 4 known delay and amplitude values, unknown phase value; non-coherent detection
  • conditional probability p r l t l 1 Lp
  • JPDF joint probability density function
  • Example 5 Known delay values, unknown phase and amplitude values for a received data signal; non-coherent detection
  • Equation (33) cannot be solved in closed-form as currently expressed.
  • the additional factor of complexity in this case is the modified Bessel function.
  • the receiver design illustrated in Figure 3 can be implemented for the case of known delays but unknown phases and amplitudes.
  • this design contains a block that theoretically includes the modulation schemes that can be possibly used together with shaping pulses.
  • coherent detection as well as uniform PDP have been selected in this design.
  • Example 6 Unknown phase, delay and amplitude values for a received data signal; non-coherent detection
  • this design contains a block that theoretically includes the modulation schemes that can be possibly used together with the shaping pulses. Furthermore, coherent detection as well as uniform PDP have been selected in this design.
  • the Power Decay Profile critically affects the performance of wireless communications systems and it is always considered as a factor of significant importance during the system design process.
  • the PDP is considered to be of the same nature in all diversity paths between transmitter and receiver.
  • Uniform PDP indicates the uniform rate of variation of the power of the signal while Exponential PDP indicates its exponential variation.
  • the nature of the PDP determines the degree of optimisation of a receiver design. For uniform PDP, the receiver design is considered optimum, while, for non-uniform PDP (exponential in our case), the receiver design is considered suboptimum.
  • the data signal which is transmitted can be shaped in a desired waveform which will make it relatively easier for the receiver to filter the received signals effectively and extract the information included in it.
  • the typical shaping pulses that are used are the square, sinusoidal and cosine.
  • Digital modulation techniques can be an important factor in the transmission of digital data in order to achieve the highest possible data transmission rates.
  • the higher the order of the modulation the higher the spectral efficiency i.e. the higher the number of bits per transmitted symbol.
  • the complexity, and hence, the cost increase dramatically.
  • the information symbols are located very close to each other which results in inter symbol interference (ISI). This increases the error rate and raises the need for more sophisticated, complex and costly receiver designs. Therefore, the choice of the appropriate modulation scheme for each system is relative to the performance requirements of it.
  • Six types of digital modulations namely, M-PSK, M-QAM, ASK/PAM, FSK, MSK and OFDM can be expressed mathematically as follows:
  • the configuration design of the receiving apparatus can be achieved by referring to the appropriate decision metric.
  • four basic receiver designs are produced directly from the four different derived decision metrics in equations (20), (24), (37), (40).
  • the PDP was considered uniform in the four initial designs.
  • receiver designs with coherent and non-coherent detection under exponential PDP can be produced in a straightforward manner.

Landscapes

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Digital Transmission Methods That Use Modulated Carrier Waves (AREA)
  • Radio Transmission System (AREA)
EP11159476.8A 2010-03-24 2011-03-23 Datenempfänger mit verbesserter Antwort auf lang- und kurzfristige Datensignalausblendung Active EP2369801B1 (de)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
GBGB1004946.8A GB201004946D0 (en) 2010-03-24 2010-03-24 Receiver with improved response to long and short term fading

Publications (3)

Publication Number Publication Date
EP2369801A2 true EP2369801A2 (de) 2011-09-28
EP2369801A3 EP2369801A3 (de) 2012-10-24
EP2369801B1 EP2369801B1 (de) 2017-11-22

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EP11159476.8A Active EP2369801B1 (de) 2010-03-24 2011-03-23 Datenempfänger mit verbesserter Antwort auf lang- und kurzfristige Datensignalausblendung

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US (1) US8654907B2 (de)
EP (1) EP2369801B1 (de)
GB (1) GB201004946D0 (de)

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7280942B2 (en) * 2005-08-15 2007-10-09 Mitsubishi Electric Research Laboratories, Inc. Method for representing a combination of signals with a distribution of a single lognormal random variable

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* Cited by examiner, † Cited by third party
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Also Published As

Publication number Publication date
GB201004946D0 (en) 2010-05-12
US20120014481A1 (en) 2012-01-19
EP2369801B1 (de) 2017-11-22
US8654907B2 (en) 2014-02-18
EP2369801A3 (de) 2012-10-24

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